Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
Knowledge Model Prompting Increases LLM Performance on Planning Tasks
arXiv:2602.03900v1 Announce Type: new Abstract: Large Language Models (LLM) can struggle with reasoning ability and planning tasks. Many prompting techniques…
Not All Negative Samples Are Equal: LLMs Learn Better from Plausible Reasoning
arXiv:2602.03516v2 Announce Type: replace-cross Abstract: Learning from negative samples holds great promise for improving Large Language Model (LLM) reasoning capability,…
SE-Bench: Benchmarking Self-Evolution with Knowledge Internalization
arXiv:2602.04811v1 Announce Type: cross Abstract: True self-evolution requires agents to act as lifelong learners that internalize novel experiences to solve…
Beyond Rewards in Reinforcement Learning for Cyber Defence
arXiv:2602.04809v1 Announce Type: cross Abstract: Recent years have seen an explosion of interest in autonomous cyber defence agents trained to…
CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs
arXiv:2602.03048v2 Announce Type: replace-cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a key approach for enhancing LLM…
CreditAudit: 2D Auditing for LLM Evaluation and Selection
arXiv:2602.02515v1 Announce Type: new Abstract: Leaderboard scores on public benchmarks have been steadily rising and converging, with many frontier language…
ReasonEdit: Editing Vision-Language Models using Human Reasoning
arXiv:2602.02408v2 Announce Type: replace-cross Abstract: Model editing aims to correct errors in large, pretrained models without altering unrelated behaviors. While…
GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures
arXiv:2602.03257v1 Announce Type: cross Abstract: Finding frequently occurring subgraph patterns or network motifs in neural architectures is crucial for optimizing…
ATACompressor: Adaptive Task-Aware Compression for Efficient Long-Context Processing in LLMs
arXiv:2602.03226v1 Announce Type: cross Abstract: Long-context inputs in large language models (LLMs) often suffer from the “lost in the middle”…
SEDformer: Event-Synchronous Spiking Transformers for Irregular Telemetry Time Series Forecasting
arXiv:2602.02230v2 Announce Type: replace-cross Abstract: Telemetry streams from large-scale Internet-connected systems (e.g., IoT deployments and online platforms) naturally form an…